Bergamaschi


A dataframe:\
''Bergamaschi:" A dataframe of 10 covariates (in the columns) for 82 patients (in the rows)\


datasets

The package is the R-version of the C-based software \bold{CASPAR} (Kaderali,2006: \url{http://bioinformatics.oxfordjournals.org/content/22/12/1495}). It is meant to help predict survival times in the presence of high-dimensional explanatory covariates. The model is a piecewise baseline hazard Cox regression model with an Lq-norm based prior that selects for the most important regression coefficients, and in turn
the most relevant covariates for survival analysis. It was primarily tried on gene expression and aCGH data, but can be used on any other type of high-dimensional data and in
disciplines other than biology and medicine.

Douaa Mugahid

RCASPAR

A package for survival time prediction based on a piecewise baseline hazard Cox regression model.

Bergamaschi function

The format is:
 num [1:82, 1:10] 0.654 0.701 0.126 0.899 0.267 ...
 - attr(*, "dimnames")=List of 2
  ..$ : chr [1:82] "1" "2" "3" "4" ...
  ..$ : chr [1:10] "IMAGE:753234" "IMAGE:50794" "IMAGE:302190" "IMAGE:51408" ...

Format

Bergamaschi, A., & al., e. (2006). Distinct Patterns of DNA Copy NumberAlteration are associated with different 
clinicopathological features and gene expression subtypes of breast cancer. Genes, Chromosomes and cancer , 45, 1033-1040.

Source

A dataframe:\
''Bergamaschi:" A dataframe of 10 covariates (in the columns) for 82 patients (in the rows)\

Bergamaschi: Gene expression data of 82 patients with 10 genes as covariates

Description

Usage

Arguments

Format

Source

Details

References

Examples